TY - JOUR
T1 - Entrepreneurship and industrial clusters
T2 - evidence from China industrial census
AU - Zhu, Xiwei
AU - Liu, Ye
AU - He, Ming
AU - Luo, Deming
AU - Wu, Yiyun
N1 - Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/3/15
Y1 - 2019/3/15
N2 - This article studies the synergy effect of entrepreneurship on China’s industrial cluster. We propose an extension to Duranton and Overman’s (The Review of Economic Studies, 72(4), 1077–1106. https://doi.org/10.1111/0034-6527.00362, 2005) method which enables us to delimit industrial cluster in space. A cross-sectional model is identified with historical measures of local entrepreneur potential in the spirit of Chinitz (The American Economic Review, 51(2), 279–289, 1961). Alternatively, we use lagged cluster and entrepreneurship variables to mitigate the endogeneity problem. We find that measures of entrepreneurship contribute significantly to the cluster formation, the cluster size, and the cluster strength. The causality remains strong even when we control for lagged cluster variables. Out of the factors proposed by the NEG theory, access to sea ports, light industry, localization economies, urban population density, and market potential are generally found to benefit cluster. Most of the results are robust to alternative measures of entrepreneurship and instrumental variable.
AB - This article studies the synergy effect of entrepreneurship on China’s industrial cluster. We propose an extension to Duranton and Overman’s (The Review of Economic Studies, 72(4), 1077–1106. https://doi.org/10.1111/0034-6527.00362, 2005) method which enables us to delimit industrial cluster in space. A cross-sectional model is identified with historical measures of local entrepreneur potential in the spirit of Chinitz (The American Economic Review, 51(2), 279–289, 1961). Alternatively, we use lagged cluster and entrepreneurship variables to mitigate the endogeneity problem. We find that measures of entrepreneurship contribute significantly to the cluster formation, the cluster size, and the cluster strength. The causality remains strong even when we control for lagged cluster variables. Out of the factors proposed by the NEG theory, access to sea ports, light industry, localization economies, urban population density, and market potential are generally found to benefit cluster. Most of the results are robust to alternative measures of entrepreneurship and instrumental variable.
KW - Entrepreneurship
KW - Industrial cluster
KW - Spatial distribution
KW - Synergy effect
UR - http://www.scopus.com/inward/record.url?scp=85040075805&partnerID=8YFLogxK
U2 - 10.1007/s11187-017-9974-3
DO - 10.1007/s11187-017-9974-3
M3 - Article
AN - SCOPUS:85040075805
SN - 0921-898X
VL - 52
SP - 595
EP - 616
JO - Small Business Economics
JF - Small Business Economics
IS - 3
ER -